There are limitations in the assessment and early diagnosis of neurological developments in infants at risk for motor disability.
This project uses machine learning to develop an automated assessment with sensor-based toys and video analysis of movement.
Aids with identifying the nature and cause(s) of a clinical problem or illness
Increases the efficacy of a clinical process or procedure
Enables healing from or treatment of an illness or clinical problem
Records/shares data as on-going surveillance of a clinical problem, process or procedure
Assistant Professor, Physical Medicine and Rehabilitation Assistant Professor, Bioengineering Director, Rehabilitation Robotics Lab
Division of Rehabilitation Medicine, The Children’s Hospital of PhiladelphiaAssistant Professor of Pediatrics, Perelman School of Medicine, University of Pennsylvania
Penn Integrates Knowledge Professor of Neurosciences and Bioengineering